Airship MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Airship through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Airship "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Airship?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Airship MCP Server
Connect your Airship (formerly Urban Airship) account to your AI agent to unlock professional mobile and web engagement orchestration. From sending targeted push notifications to auditing subscriber segments and managing named user associations across multiple channels, your agent handles your multi-channel communication strategy through natural conversation.
Pydantic AI validates every Airship tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Push Orchestration — Send and monitor push notifications to specific audiences, segments, or all users
- Segmentation Oversight — List and retrieve criteria for your audience segments, including tags and attributes
- Channel Management — List and audit communication channels (iOS, Android, Web, Email) and retrieve technical metadata
- User Association — Manage named users to map multiple devices and channels to a single customer profile
- Engagement Insights — Quickly identify active segments or audit delivery statuses directly from your chat interface
The Airship MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Airship to Pydantic AI via MCP
Follow these steps to integrate the Airship MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Airship with type-safe schemas
Why Use Pydantic AI with the Airship MCP Server
Pydantic AI provides unique advantages when paired with Airship through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Airship integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Airship connection logic from agent behavior for testable, maintainable code
Airship + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Airship MCP Server delivers measurable value.
Type-safe data pipelines: query Airship with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Airship tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Airship and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Airship responses and write comprehensive agent tests
Airship MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Airship to Pydantic AI via MCP:
associate_named_user
Link device to user
get_channel_details
Get device metadata
get_push_status
Check push delivery
get_segment_details
Get segment criteria
list_channels
List app channels
list_named_users
List named users
list_segments
List audience segments
list_static_lists
g. CSV uploads) in your account. List static audiences
list_tags
List audience tags
send_push_notification
Send a push alert
Example Prompts for Airship in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Airship immediately.
"Send a push notification to all users with alert 'Big Sale starting now!'."
"List all audience segments in my EU project."
"Show details for channel ID '12345678-90ab-cdef-1234-567890abcdef'."
Troubleshooting Airship MCP Server with Pydantic AI
Common issues when connecting Airship to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAirship + Pydantic AI FAQ
Common questions about integrating Airship MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Airship with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Airship to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
